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Signal-Processing / Machine Learning Engineer

Signal-Processing / Machine Learning Engineer

DogsolutionsPeru
Hace 3 días
Descripción del trabajo

Signal-Processing / Machine Learning Engineer

2 days ago Be among the first 25 applicants

Job Title : Signal-Processing / Machine-Learning Engineer

Location : Remote

About Us We are an innovative tech company building a cutting-edge digital well-being platform. Our focus is on developing an intelligent mobile application that leverages advanced technology to enhance personal well-being. Our goal is to create solutions that empower individuals to improve their quality of life through real-time, data-driven insights. We're looking for passionate talent to join our team and make a meaningful difference.

The Opportunity We are seeking a talented and dedicated Signal-Processing / Machine-Learning Engineer to join our growing team. In this pivotal role, you will be responsible for transforming raw biosignals into real-time, on-device intelligence for our mobile application. You will contribute to the core algorithms that power our innovative solution, making a direct impact on how users interact with their well-being. This is an exciting opportunity to work on a project at the forefront of digital health.

What You'll Do

  • Design and implement pipelines for processing and cleaning biosignals from various sources.
  • Develop and refine feature extraction methods from physiological data.
  • Design, prototype, train, and evaluate lightweight neural networks for on-device deployment.
  • Focus on optimizing model performance, ensuring low latency and efficient resource usage on mobile devices.
  • Develop personalization logic to tailor interventions to individual users.
  • Formalize and implement algorithms for analyzing the efficacy of interventions.
  • Collaborate closely with the Mobile Lead and QA engineers to integrate models and ensure high quality.

Our Tech Stack

  • Python (3.11)
  • Libraries for signal processing (e.g., MNE-Python, SciPy / signal, NumPy)
  • Machine Learning frameworks (e.g., TensorFlow 2 → TensorFlow-Lite)
  • JupyterLab for development and analysis
  • CI / CD tools (e.g., GitHub Actions)
  • Who You Are

  • An experienced engineer with a strong background in signal processing and machine learning.
  • Proficient in Python and relevant data science libraries.
  • Skilled in designing and optimizing neural networks for mobile and on-device deployment.
  • Experienced in handling and extracting features from time-series biometric data.
  • Detail-oriented with a focus on model accuracy, performance, and efficiency.
  • A collaborative team player with excellent problem-solving skills.
  • Passionate about leveraging technology to improve health and well-being.
  • Join Us! If you are excited by the prospect of building groundbreaking AI and signal processing solutions that directly impact personal well-being, we invite you to join our growing team. Apply now and help us shape the future of digital health

    Skills : python,collaboration,feature extraction,algorithm optimization,time-series biometric data,ci / cd,mobile application development,tensorflow-lite,data science libraries,ci / cd tools,feature engineering,mobile development,model optimization,time-series data,statistical modeling,time-series analysis,mobile deployment,machine learning,neural networks,data cleaning,software development,time-series data analysis,tensorflow,biometric data analysis,problem solving,data analysis,signal processing,deep learning

    Seniority level

    Seniority level

    Associate

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Other

    Industries

    Technology, Information and Internet

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    Engineer • Peru